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Spark 4.0.0 ScalaDoc - org.apache.spark.mllib.feature.IDFModel

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1. IDFModel
2. Serializable
3. AnyRef
4. Any

1. Public
2. Protected

1.  final def !=(arg0: Any): Boolean
2.  final def ##: Int
3.  final def ==(arg0: Any): Boolean
4.  final def asInstanceOf[T0]: T0
5.  def clone(): AnyRef
6.  val docFreq: Array[Long]
7.  final def eq(arg0: AnyRef): Boolean
8.  def equals(arg0: AnyRef): Boolean
9.  final def getClass(): Class[_ <: AnyRef]
10.  def hashCode(): Int
11.  val idf: Vector
12.  final def isInstanceOf[T0]: Boolean
13.  final def ne(arg0: AnyRef): Boolean
14.  final def notify(): Unit
15.  final def notifyAll(): Unit
16.  val numDocs: Long
17.  final def synchronized[T0](arg0: => T0): T0
18.  def toString(): String
19.  def transform(dataset: JavaRDD[Vector]): JavaRDD[Vector]
20.  def transform(v: Vector): Vector
21.  def transform(dataset: RDD[Vector]): RDD[Vector]
22.  final def wait(arg0: Long, arg1: Int): Unit
23.  final def wait(arg0: Long): Unit
24.  final def wait(): Unit

1.  def finalize(): Unit

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